Telefónica, S.A (TELFY) Fair Value & Analysis
Communication Services · US · Market cap $23.5B
Analysis
Telefónica, S.A (TELFY) currently trades at $4.17, while our model-based Fair Value estimate is $2.04 — implying the stock looks roughly 51.1% overvalued today. We read business quality at 89/100 (high quality), in the Communication Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Telefónica, S.A., together with its subsidiaries, provides telecommunications services in Europe and Latin America. The company offers mobile and related services and products, including mobile voice, value added, mobile data and internet, wholesale, corporate, roaming, fixed wireless, and trunking and paging services; traditional fixed telecommunication services, such as PSTN lines; ISDN accesses; public telephone services; local, domestic, and international long-distance and fixed-to-mobile communications; corporate communications; supplementary value-added services; video telephony; intelligent network; telephony information services; and leases and sells handset equipment. It also provides internet provider service; portal and network, retail and wholesale broadband access, narrowband switched access and other technologies, internet through fibre to the home, very high bit-rate digital subscriber line, and voice over internet protocol services; leased line, virtual private netwo…
Open the full interactive analysis →
Similar stocks
How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.